对原子结构的优化有效电位方法的光谱有限元素配方在随机相位近似中
Shubhang Krishnakant Trivedi1, Phanish Suryanarayana1,2
1College of Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, USA.
我们开发了一种用于原子结构计算的新计算方法,在随机相近似 (RPA) 中使用优化有效电位 (OEP) 方法. 这种光谱有限元素方法准确地建模电子结构,并有助于开发先进的计算化学模型.
科学领域:
- 计算化学是一种计算化学.
- 量子力学就是量子力学.
- 电子结构理论 电子结构理论
背景情况:
- 优化有效潜力 (OEP) 方法对于精确的电子结构计算至关重要.
- 随机相近似 (RPA) 提供了一种系统的方式来包括电子相关性效应.
- 将OEP和RPA结合在一起会带来计算方面的挑战.
研究的目的:
- 在RPA中为OEP方法开发一种新的光谱有限元素配方.
- 为原子结构计算创建一个准确和高效的计算框架.
- 探索机器学习的应用,以完善RPA-OEP交换相关性潜力.
主要方法:
- 使用切比舍夫-高斯-洛巴托节点的光谱有限元素框架.
- 高阶C0连续拉格朗日多项式基础函数用于空间离散.
- 准确的数字集成的高斯-莱根德二次方程.
- 对于轨道,Hartree电位和RPA-OEP电位,有明确的多项式度.
主要成果:
- 通过代表性例子验证光谱有限元素框架的准确性.
- 评估包含RPA相关性的双混合函数的忠实性.
- 使用核心方法和线性回归,开发RPA-OEP交换相关性潜力的机器学习模型.
结论:
- 开发的光谱有限元素方法为OEP-RPA计算提供了准确和高效的方法.
- 该框架使高级密度函数的可靠评估成为可能.
- 机器学习为在量子化学中近似复杂的交换-关联潜力提供了一个有希望的途径.
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